Please try to clarify this question. Do you want more x-axis ticks and for it to extend farther?. Do you want to see each individual data point? It's unclear what you're asking for.
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JohnAug 12 '11 at 1:25

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Viewing 750k individual points on a single plot is a large task to ask. You could look at the alpha parameter in ggplot2 as a way to reduce the overplotting. Are there other variables in your dataset that could help you split this up into a few different plots? Look here for ggplot examples with alpha: had.co.nz/ggplot2/geom_point.html
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ChaseAug 12 '11 at 1:33

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It sounds like you want a tick mark on the x axis for each of the ~750k x values in your data. Let's say we give just one pixel to each tick mark. That's ~750k pixels wide. How big is your computer screen?
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joranAug 12 '11 at 1:52

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What I meant was that to see each individual point, you're going to need an enormous screen. Perhaps the best way to visualize this data is to aggregate it? A histogram maybe?
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joranAug 12 '11 at 2:06

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...or follow the advice you got in your previous question and use hexbin.
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joranAug 12 '11 at 2:55

1 Answer
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As others suggested, try hist, hexbin, plot(density(node)), as these are standard methods for dealing with more points than pixels. (I like to set hist with the parameter breaks = "FD" - it tends to have better breakpoints than the default setting.)

Where you may find some joy is in using the iplots package, an interactive plotting package. The corresponding commands include ihist, iplot, and more. As you have a Mac, the more recent Acinonyx package may be even more fun. You can zoom in and out quite easily. I recommend starting with the iplots package as it has more documentation and a nice site.

If you have a data frame with several variables, not just node, then being able to link the different plots such that brushing points in one plot highlights them in another will make the whole process more stimulating and efficient.

That's not to say that you should ignore hexbin and the other ideas - those are still very useful. Be sure to check out the options for hexbin, e.g. ?hexbin.